AI in FinTech & Open Banking Innovation Training Course

This instructor-led, live training in Serbia (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers who aim to develop and implement AI-driven solutions for financial automation and fraud detection.

Upon completion of this training, participants will be able to:

• Grasp the role of AI in automating financial processes and detecting fraud.
• Construct AI models specifically for identifying fraudulent transactions.
• Apply machine learning techniques for real-time risk evaluation.
• Deploy AI-powered systems for continuous financial monitoring.

Artificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.

This instructor-led live training, available both online and onsite, is designed for finance professionals with intermediate expertise who want to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and streamline lending operations.

Upon completing this training, participants will be able to:

• Grasp the core AI methodologies applied in credit scoring and risk prediction.
• Construct and assess credit scoring models using machine learning algorithms.
• Interpret model outputs to ensure regulatory compliance and transparency.
• Apply AI techniques to improve underwriting, loan approval processes, and portfolio management.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Artificial Intelligence serves as a transformative technology that facilitates the creation of digital products equipped with sophisticated data-driven functionalities and tailored customer experiences.

This instructor-led live training, offered either online or onsite, integrates asynchronous learning activities with in-person workshops. It is specifically designed for banking professionals at an intermediate level who aspire to effectively design, develop, and implement AI-powered digital products.

Upon completion of this training, participants will be equipped to:

• Detect customer needs and establish a clear product vision.
• Leverage AI technologies to elevate digital banking offerings.
• Utilize agile methodologies and design thinking to develop user-centric solutions.
• Evaluate, iterate, and optimize product performance to ensure sustained value delivery.

Format of the Course

• 50% synchronous classes (virtual or in-person).
• 25% asynchronous activities (videos, readings, forums).
• 25% in-person practical workshop featuring case studies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence is revolutionizing the way financial institutions identify fraud and combat money laundering by utilizing intelligent, real-time analysis of massive transaction datasets.

This instructor-led training, available either online or on-site, is designed for intermediate-level professionals aiming to utilize machine learning and AI tools to automate and improve the detection of financial crimes, compliance monitoring, and operational governance.

Upon completing this training, participants will be capable of:

• Grasping AI applications in fraud detection and AML monitoring.
• Developing and implementing models for transaction scoring and anomaly detection.
• Applying graph-based AI to identify network risks.
• Ensuring that model deployment is ethical, explainable, and compliant with regulations.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Practical implementation within a live-lab environment.

Customization Options for the Course

• For customized training requests regarding this course, please contact us to arrange details.

AI serves as a strategic enabler for risk reduction, customer experience, and operational efficiency in financial services.

This instructor-led live training (available online or onsite) targets financial services executives, fintech managers, and compliance officers with limited prior exposure to artificial intelligence who wish to understand how to responsibly and effectively implement AI solutions in their institutions.

By the end of this training, participants will be able to:

• Understand the strategic value of AI in financial services.
• Identify and mitigate ethical risks associated with AI models.
• Navigate the regulatory landscape for AI in finance.
• Design responsible AI governance and implementation frameworks.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group exercises.
• Application of ethical frameworks to realistic financial scenarios.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Artificial Intelligence is reshaping how financial institutions handle risk, strategy, regulatory compliance, and customer experience.

This instructor-led live training, available both online and on-site, is designed for intermediate-level professionals in finance and technology who want to grasp how AI influences strategy, ethics, and regulation within the financial sector.

Upon completing this training, participants will be able to:

• Identify strategic applications of AI within financial services.
• Assess the ethical and regulatory implications associated with AI adoption.
• Create frameworks for responsible AI governance and oversight.
• Align AI strategies with organizational objectives and compliance standards.

Course Format

• Interactive lectures and discussions.
• Case studies and collaborative group exercises.
• Practical analysis of real-world AI regulatory frameworks.

Customization Options

• For customized training requests, please contact us to arrange your session.

Artificial Intelligence offers a robust toolkit for building intelligent trading systems capable of analyzing market data, forecasting trends, and executing strategies autonomously.

This instructor-led training, available online or onsite, is designed for intermediate-level finance professionals seeking to integrate AI techniques into trading and asset management, with a focus on signal generation, portfolio optimization, and algorithmic strategies.

Upon completing this training, participants will be equipped to:

• Grasp the significance of AI within contemporary financial markets.
• Utilize Python to construct and backtest algorithmic trading strategies.
• Apply supervised and unsupervised learning models to analyze financial data.
• Optimize portfolios using AI-driven methodologies.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request a customized version of this course, please contact us to arrange details.

Artificial intelligence is reshaping the WealthTech sector by facilitating highly customized financial services, intelligent advisory platforms, and improved customer experiences.

This instructor-led live training (available online or on-site) targets intermediate-level finance and technology professionals interested in designing, evaluating, or implementing AI-driven solutions for personalized wealth management and robo-advisory services.

Upon completion of this training, participants will be able to:

• Comprehend the application of AI in wealth management and digital advisory platforms.
• Design intelligent systems that deliver personalized portfolio recommendations.
• Integrate behavioral finance data and client preferences into advisory algorithms.
• Assess ethical and regulatory challenges associated with automated investment advice.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live laboratory environment.

Customization Options

• For customized training requests, please contact us to arrange.

Applied AI introduces new levels of efficiency and intelligence to the way finance professionals analyze and report on business performance.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to integrate AI tools into their financial statement workflows to enhance accuracy, automate repetitive tasks, and gain forward-looking insights.

By the end of this training, participants will be able to:

• Automate data extraction from financial documents using AI tools.
• Apply machine learning models to analyze trends and anomalies in financial statements.
• Use generative AI to assist in variance commentary, narrative reports, and scenario simulation.
• Interpret AI-generated outputs responsibly in the context of finance reporting and planning.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Serbia (online or onsite) is designed for finance professionals who aim to use ChatGPT to streamline their workflows and enhance their data analysis and reporting capabilities.

By the end of this training, participants will be able to:

• Understand the fundamentals of ChatGPT and how it works.
• Use ChatGPT to automate financial tasks such as data entry and report generation.
• Analyze financial data with ChatGPT to gain insights and make informed decisions.
• Develop custom ChatGPT models for specific financial use cases.

Copilot for Microsoft 365 is an AI-driven assistant that integrates seamlessly with Microsoft Office applications to help finance and accounting professionals boost productivity, streamline reporting, and support decision-making.

This instructor-led, live training (available online or onsite) is designed for finance and accounting professionals with limited AI experience who wish to leverage Microsoft Copilot to improve accuracy, efficiency, and insight in financial tasks.

By the end of this training, participants will be able to:

• Create financial reports quickly and accurately using Copilot.
• Automate repetitive accounting and data-entry tasks.
• Generate financial summaries and forecasts with AI assistance.
• Use natural language prompts to extract insights from large financial datasets.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Generative AI encompasses a category of artificial intelligence technologies designed to create new content or predictions based on existing data, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

This instructor-led, live training (available online or onsite) is designed for finance professionals at a beginner to intermediate level who want to leverage generative AI for forecasting, anomaly detection, and compliance within financial services.

By the conclusion of this training, participants will be able to:

• Grasp the core concepts underlying generative AI models.
• Implement LLMs and GANs in practical scenarios such as fraud detection and synthetic data creation.
• Craft effective prompts to support financial forecasting and reporting.
• Assess the ethical and regulatory implications of using generative AI.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and hands-on practice.
• Practical implementation in a live-lab environment.

Course Customization Options

• To request a customized version of this course, please contact us to arrange.

LangGraph serves as a framework for constructing stateful, multi-agent LLM applications through composable graphs, featuring persistent state and execution control.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced professionals seeking to design, implement, and manage LangGraph-based financial solutions with appropriate governance, observability, and compliance measures.

Upon completion of this training, participants will be capable of:

• Creating finance-specific LangGraph workflows that align with regulatory and audit requirements.
• Integrating financial data standards and ontologies into graph states and tooling.
• Establishing reliability, safety, and human-in-the-loop controls for critical processes.
• Deploying, monitoring, and optimizing LangGraph systems to meet performance, cost, and SLA targets.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For customized training requests, please contact us to arrange details.

Machine Learning is a subset of Artificial Intelligence focused on creating systems that learn from data and make predictions or decisions without being explicitly programmed.

This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply machine learning and AI techniques to real-world problems such as fraud detection, credit scoring, and risk modeling.

By the end of this training, participants will be able to:

• Understand the core machine learning concepts relevant to finance.
• Apply supervised and unsupervised learning algorithms to financial datasets.
• Build and evaluate predictive models for credit risk, fraud detection, and market analysis.
• Use Python and scikit-learn to implement machine learning pipelines.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Serbia (online or onsite) is aimed at intermediate-level finance professionals, data analysts, risk managers, and AI engineers who wish to leverage multimodal AI for risk analysis and fraud detection.

By the end of this training, participants will be able to:

• Understand how multimodal AI is applied in financial risk management.
• Analyze structured and unstructured financial data for fraud detection.
• Implement AI models to identify anomalies and suspicious activities.
• Leverage NLP and computer vision for financial document analysis.
• Deploy AI-driven fraud detection models in real-world financial systems.